I have multiple Databricks Apps running, but their usage is not fixed or predictable. Some apps are used only occasionally, while others may remain idle for long periods.

Since Databricks Apps need to stay up and continue consuming resources even when there is no active usage, I wanted to understand the recommended approach for cost optimization.

Is there any supported way to automatically stop or scale down Databricks Apps when they are idle and start them again when needed, similar to how serverless compute can scale based on usage?If automatic idle shutdown is not currently supported, is there a recommended pattern to schedule app start/stop using Databricks Jobs, APIs, CLI, or any platform-native automation?